Lead design and delivery of AI agent solutions that convert documents into structured data for Veeva Quality Cloud. Define data flows, orchestration, model integration, and prompts; collaborate with engineering and UX to automate processes, evaluate AI agents, and present features to stakeholders.
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead.
At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.
As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.
Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.
We are seeking an experienced technical product manager to design and deliver high-value AI Agent solutions across the Veeva Quality Cloud suite of products. Veeva Quality Cloud accelerates the manufacturing of high-quality products to a greater number of patients. The cloud platform unifies applications, processes and partners across content management, training, Quality Management System (QMS) and QC lab solutions (LIMS). In this role, you will be an expert in the use of AI to design and build AI agents that analyze document content and intelligently extract the information to map & store them as structured data within the Veeva Quality Cloud data model (i.e. ‘Docs to Data’).
What You'll Do
- Hands-on design and development of AI agents focused on ‘Docs to Data’ across the Veeva Quality Cloud
- Design and deliver production AI Agent applications including data flow, orchestration, and prompts
- Work with engineering and UX to automate key business processes using AI
- Assist with AI Agent evaluations
- Present feature capabilities and value to internal and external stakeholders
Requirements
- 5+ years of enterprise SaaS product management, engineering, or technical consulting experience, with at least 2+ years focused on AI/ML applications
- Experience with data flow design, algorithm selection, and model integration
- Coding skills in Python and hands-on experience with AI Frameworks and APIs
- Strong understanding of AI/ML concepts, LLMs, and prompt engineering
- Strong collaboration skills for working with engineering, UX design, and application product management teams
- Excellent communication skills to work with non-technical stakeholders
- Ability to work independently in a fast-paced environment with little direct supervision
- Must be based in or within one hour of the Eastern Time zone
- Must be able to travel 20%
Nice to Have
- Experience in a data scientist, machine learning, or data engineering role
- Experience in Life Sciences
- Experience building products on application development platforms
- Experience building software for regulated industries
- Experience interacting with customers and internal teams remotely and across geographies
Interviewing with Veeva
- Follow the application process and submit your resume.
- Within 3 days, you will receive a link to a personality assessment administered by a third party.
- Once you complete the assessment, our team will review your full application package and follow up via email with our decision.
- If moving to the interview stage, the process is as follows:
- A conversation with the hiring manager
- A practical case exercise
- A final conversation with our group's Senior Leader.
- Once all interviews are complete, the manager will be in touch with a final decision.
We value your time and believe in a transparent hiring process. Here is the process you can expect.
Perks & Benefits
- Medical, dental, vision, and basic life insurance
- PTO and company-paid holidays
- Retirement programs
- 1% charitable giving program
Compensation
- Base pay: $100,000 - $150,000 CAD
- The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.
#LI-Remote#LI-MidSenior
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at [email protected].
Similar Jobs
Information Technology
Leads executive-level cyber risk advisory engagements, including GRC assessments, audits, control implementations, privacy programs, AI governance, remediation planning, and security strategy development. Advises clients on regulatory, cloud, AI, third-party, and emerging cyber risks; creates executive deliverables and reusable methodologies; supports sales and practice growth; develops thought leadership; and mentors consulting teams.
Top Skills:
Ai GovernanceCis ControlsCloud SecurityCobitGrc PlatformsIso 27001Iso 27017Iso 27018Iso 42001ItilExcelMS OfficeMicrosoft OutlookMicrosoft PowerpointMicrosoft VisioMicrosoft WordNist CsfPci DssPrivacy Risk ManagementSoc
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead 24/7 incident response for commercial and regulated environments, monitoring security systems, correlating events, investigating threats, and coordinating incidents through closure. Perform digital forensics, threat hunting, malware analysis, vulnerability analysis, and post-incident reporting. Develop response playbooks and security standards, support audits and investigations, maintain secure configurations, integrate security solutions, and communicate complex incidents to executives and customers. Participate in after-hours and weekend on-call rotations.
Top Skills:
AWSAzureBashEdrGCPLinuxmacOSNessusPythonQualysServicenowSIEMSoarSplunkTcp/IpWindows
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Architects and orchestrates integrated B2B marketing campaigns for product launches and evergreen motions. Defines audiences, narratives, buyer journeys, channel roles, activation plans, and measurement strategies across owned, earned, and paid channels. Leads cross-functional teams through campaign planning, launch, optimization, and post-campaign learning, while aligning marketing, communications, creative, analytics, operations, and sales. Uses performance and revenue signals to improve campaign effectiveness and scale reusable strategies across Dropbox’s enterprise portfolio.
Top Skills:
Ai ToolsAttribution PlatformsCRMExperimentation PlatformsIntent PlatformsMarketing Automation PlatformsMedia Platforms
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
